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Spatiotemporal modelling of soil moisture in an Atlantic forest through machine learning algorithms |
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| Authors: | Vinicius Augusto de Oliveira André Ferreira Rodrigues Marco Antônio Vieira Morais Marcela de Castro Nunes Santos Terra Li Guo Carlos Rogério de Mello |
| Institution: | 1. Water Resources Department, Federal University of Lavras, Lavras, Brazil;2. Water Resources Department, Federal University of Lavras, Lavras, Brazil
Contribution: Data curation, Formal analysis, Methodology, Validation, Visualization, Writing - review & editing;3. Federal Institute of Science and Technology of Mato Grosso, Barra das Garças, Brazil Contribution: Conceptualization, Data curation, Methodology, Validation;4. Forest Science Department, Federal University of Lavras, Lavras, Brazil Contribution: Data curation, Formal analysis, Investigation, Methodology, Writing - original draft;5. State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu, China |
| Abstract: | |
| Keywords: | forest hydrology neural networks random forest soil physics support vector machine weighted k-nearest neighbour |